2008
DOI: 10.1038/nature07632
|View full text |Cite
|
Sign up to set email alerts
|

A global network for investigating the genomic epidemiology of malaria

Abstract: Large-scale studies of genomic variation could assist efforts to eliminate malaria.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
103
0

Year Published

2009
2009
2022
2022

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 152 publications
(107 citation statements)
references
References 35 publications
(45 reference statements)
1
103
0
Order By: Relevance
“…Individuals with severe P. falciparum malaria and population controls were recruited in Burkina Faso, Cameroon, The Gambia, Ghana, Kenya, Malawi, Mali, Nigeria, Tanzania, Vietnam and Papua New Guinea as described elsewhere (Malaria Genomic Epidemiology Network, 2008, 2014). After data curation and quality control, this analysis included 11,871 cases of severe malaria and 16,889 population controls.…”
Section: Resultsmentioning
confidence: 99%
“…Individuals with severe P. falciparum malaria and population controls were recruited in Burkina Faso, Cameroon, The Gambia, Ghana, Kenya, Malawi, Mali, Nigeria, Tanzania, Vietnam and Papua New Guinea as described elsewhere (Malaria Genomic Epidemiology Network, 2008, 2014). After data curation and quality control, this analysis included 11,871 cases of severe malaria and 16,889 population controls.…”
Section: Resultsmentioning
confidence: 99%
“…The cooperative efforts of the partnerships in the Malaria Genomic Epidemiology Network (MalariaGEN) have created a panel of highly credible SNPs ascertained in the context of 1685 parasites, contributed from 17 countries, and we utilize this community resource here [11].…”
Section: Introductionmentioning
confidence: 99%
“…Why only a small proportion (1–3%) of Plasmodium falciparum infections progress to severe or fatal episodes [2] while others remain asymptomatic or develop an uncomplicated illness is not yet fully understood. Epidemiological data indicate that about 25% of the risk to Plasmodium infection in Africa is determined by human genetic factors [3].…”
Section: Introductionmentioning
confidence: 99%